基于颜色特征的检测方法
- Dominant language
- C++
- Stars
- 95
- Forks
- 33
- PR merge metrics
- No merged PRs in 30d
Description
使用RGB的最大值、最小值、加权平均值
使用最小值
> P. Foucher, Y. Sebsadji, J.-P. Tarel, P. Charbonnier, and P. Nicolle,
> “Detection and recognition of urban road markings using images,”
> in 14th International IEEE Conference on Intelligent Transportation
> Systems (ITSC), Oct. 2011.
> In case of a color input image, rather than using the
> corresponding gray level image, it has been shown in [13]
> that it is better to use as input the minimum value over the
> three color channels, when the white balance is performed
> on white lane-markings.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Read the existing lane-marking detection pipeline first, then determine where RGB color features belong and how the cited paper's minimum-channel method should be evaluated against maximum and weighted-average variants; done should include an agreed implementation target and validation results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100